The combined form of the Jouyban-Acree model and the calculated Abraham
solute parameters has been used to predict the density of binary solvent
mixtures at various temperatures. The proposed model has been trained using 290
binary solvent systems at different temperatures (278.15 to 353.15 K) and
concentration ranges. The results are discussed in terms of mean relative
deviations (MRDs) between computed and experimental densities as an accuracy
criterion. The MRD of the proposed model is 1.2 ± 1.9 %, indicating that the
proposed model, together with the calculated Abraham parameters, is accureate
to reproduce the concentration and temperature dependence of density values of
binary solvent mixtures.